Music Vocal Separation：音乐人声分离工具

25,954 Stars | MIT | Python

Ultimate Vocal Remover GUI v5.6 <img src="https://raw.githubusercontent.com/Anjok07/ultimatevocalremovergui/master/gui_data/img/UVR_v5.6.png?raw=true" /> [](https://github.com/anjok07/ultimatevocalremovergui/releases/latest) [](https://github.com/anjok07/ultimatevocalremovergui/releases) ## About This application uses state-of-the-art source separation models to remove vocals from audio files. UVR's core developers trained all of the models provided in this package (except for the Demucs v3 and v4 4-stem models). - **Core Developers** - Anjok07 - aufr33 - **Support the Project** - Donate ## Installation These bundles contain the UVR interface, Python, PyTorch, and other dependencies needed to run the application effectively. No prerequisites are required. ## Windows Installation - Please Note: - This installer is intended for those running Windows 10 or higher. - Application functionality for systems running Windows 7 or lower is not guaranteed. - Application functionality for Intel Pentium & Celeron CPUs systems is not guaranteed. - You must install UVR to the main C:\ drive. Installing UVR to a secondary drive will cause instability. - Download the UVR installer for Windows via the link below: - Main Download Link - Main Download Link mirror - If you use an **AMD Radeon or Intel Arc graphics card**, you can try the DirectML version: - DirectML Version - Main Download Link - Update Package instructions for those who have UVR already installed: - If you already have UVR installed you can install this package over it or download it straight from the application or click here for the patch. <details id="WindowsManual"> <summary>Windows Manual Installation</summary> ## Manual Windows Installation - Download and extract the repository here - Download and install Python here - Make sure to check "Add python.exe to PATH" during the install - Run the following commands from the extracted repo directory: ``` python.exe -m pip install -r requirements.txt ``` If you have a compatible Nvidia GPU, run the following command: ``` python.exe -m pip install --upgrade torch --extra-index-url https://download.pytorch.org/whl/cu117 ``` If you do not have FFmpeg or Rubber Band installed and want to avoid going through the process of installing them the long way, follow the instructions below. **FFmpeg Installation** - Download the precompiled build here - From the archive, extract the following file to the UVR application directory: - ```ffmpeg-5.1.2-essentials_build/bin/ffmpeg.exe``` **Rubber Band Installation** In order to use the Time Stretch or Change Pitch tool, you'll need Rubber Band. - Download the precompiled build here - From the archive, extract the following files to the UVR application directory: - ```rubberband-3.1.2-gpl-executable-windows/rubberband.exe``` - ```rubberband-3.1.2-gpl-executable-windows/sndfile.dll``` </details> ## MacOS Installation - Please Note: - The MacOS Sonoma mouse clicking issue has been fixed. - MPS (GPU) acceleration for Mac M1 has been expanded to work with Demucs v4 and all MDX-Net models. - This bundle is intended for those running macOS Big Sur and above. - Application functionality for systems running macOS Catalina or lower is not guaranteed. - Application functionality for older or budget Mac systems is not guaranteed. - Once everything is installed, the application may take up to 5-10 minutes to start for the first time (depending on your Macbook). - Download the UVR dmg for MacOS via one of the links below: - Mac M1 (arm64) users: - Main Download Link - Main Download Link mirror

简介

GUI for a Vocal Remover that uses Deep Neural Networks.

相关标签

audio · instrumental · karaoke · kareokee · music · pytorch · separation · source